{"id":"W6955615518","doi":"10.58079/oy5d","title":"GIS Hybrida-IS : Cartographie du Réseau de recherche | 19/04/2023, Online/Lisboa, Journée de Pré-Congrès (7-CISS)","year":2023,"lang":"fr","type":"article","venue":"Industrias Culturais (Universidade de Coimbra)","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geographic information system; Field (mathematics); Global Positioning System; Information system; Identification (biology)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003974034,0.0006288778,0.0005862787,0.007279113,0.001421251,0.00724235,0.001103494,0.001086522,0.07283384],"category_scores_gemma":[0.005493871,0.0008265982,0.000795808,0.01146031,0.001096802,0.002412615,0.00283519,0.001008297,0.02344836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006207601,"about_ca_system_score_gemma":0.01085665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1460273,"about_ca_topic_score_gemma":0.1678317,"domain_scores_codex":[0.9981012,0.0003938518,0.0001458648,0.0002270254,0.0009280024,0.0002041709],"domain_scores_gemma":[0.9959181,0.001207367,0.0002132365,0.0007233016,0.001511828,0.00042618],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003353158,0.00007842317,0.01894418,0.0007019428,0.000058766,0.0002879144,0.003809484,0.002891597,0.00284513,0.02165234,0.7362043,0.2121905],"study_design_scores_gemma":[0.00002649994,0.00002811648,0.02158152,0.0002557635,0.00001086585,0.00009957128,0.001897054,0.002320728,0.001603726,0.001909763,0.9702266,0.0000398668],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05241532,0.005350901,0.07756154,0.01695849,0.002258887,0.0008668121,0.3930535,0.03816595,0.4133686],"genre_scores_gemma":[0.2080245,0.005303613,0.1594389,0.0007948189,0.0004343808,0.001455017,0.2103176,0.01138047,0.4028507],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1460273,"threshold_uncertainty_score":0.2903546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1632805010668404,"score_gpt":0.346175089175687,"score_spread":0.1828945881088466,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}